Schaum's outline of theory and problems of elements of statistics / Stephen Bernstein, Ruth Bernstein.
Material type:
TextSeries: McGraw-Hill's ebook libraryStudent study aids. Schaum's course outlines: ; Schaum's outline series: Publisher: New York : McGraw Hill Professional, 2011Description: vii, 354 pages : illustrationsISBN: 9780071609388; 0071609385Other title: Theory and problems of elements of statistics | Elements of statistics I: descriptive statistics and probability [Cover title] | Online index title: Schaum's outline of elements of statistics I : descriptive statistics and probabilitySubject(s): Statistics -- Outlines, syllabi, etc | Mathematical statistics -- Outlines, syllabi, etc | Sampling (Statistics) -- Outlines, syllabi, etc | Information modeling -- Outlines, syllabi, etc | Probabilities -- Outlines, syllabi, etc | Variables (Mathematics) -- Outlines, syllabi, etc | Information modeling | Mathematical statistics | Probabilities
| Sampling (Statistics) | Statistics | Variables (Mathematics)Genre/Form: Electronic books. | Outlines and syllabi. | Internet resources.Additional physical formats: Print version:: Schaum's Outline of Elements of Statistics I: Descriptive Statistics and ProbabilityDDC classification: 519.2 LOC classification: QA276.2 | .B42Online resources: OverDrive | Click here to access online | Click here to access online | Click here to access online | EBSCOhost | Image | Contributor biographical information 
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Print version c1999.
Print version has series statement on cover: Schaum's outlines.
Includes index.
Temporary access.
Mathematics required for statistics -- Characteristics of the data -- Populations, samples, and statistics -- Descriptive statistics : organizing the data into summary tables -- Descriptive statistics : graphing the data -- Descriptive statistics : measures of central tendency, average value, and location -- Descriptive statistics : measures of dispersion -- Probability : the classical, relative frequency, set theory, and subjective interpretations -- Probability : calculating rules and counting rules -- Random variables, probability distributions, and cumulative distribution functions.
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